Alternatives and similar repositories for ml_cyber_security_usecases

Users that are interested in ml_cyber_security_usecases are comparing it to the libraries listed below

• antoinedelplace / Cyberattack-Detection
  Cyber Attack Detection thanks to Machine Learning Algorithms
  ☆104Updated 5 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• tuff96 / Malware-detection-using-Machine-Learning
  ☆60Updated 3 years ago
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆54Updated 10 months ago
• rubiruchi / Insider-Threat-and-Anomaly-Detection-from-User-Activities
  Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
  ☆68Updated 6 years ago
• ocatak / lstm_malware_detection
  ☆32Updated 4 years ago
• jackaduma / ThreatReportExtractor
  Extracting Attack Behavior from Threat Reports
  ☆77Updated 2 years ago
• jackaduma / NLP4CyberSecurity
  NLP model and tech for cyber security tasks
  ☆87Updated 2 years ago
• alik604 / cyber-security
  Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
  ☆206Updated last year
• obarrera / Machine-Learning-Malware-Detection
  Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.
  ☆40Updated 4 years ago
• ALFA-group / robust-adv-malware-detection
  [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…
  ☆106Updated 10 months ago
• vinayakumarr / DMD2018
  Detection of malicious domain names using machine learning and deep learning models
  ☆16Updated 6 years ago
• tjcruz-dei / ICS_PCAPS
  ICS Cybersecurity PCAP respository
  ☆53Updated 6 years ago
• cyberhunters / Malware-Detection-Using-Machine-Learning
  Multi-class malware classification using Deep Learning
  ☆77Updated 4 years ago
• Thijsvanede / DeepCASE
  Original implementation and resources of DeepCASE as in the S&P '22 paper
  ☆92Updated last year
• ulookme / CyberSecurity-Data-Science
  Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…
  ☆16Updated 4 years ago
• aptresearch / datasets
  ☆23Updated 3 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• whyisyoung / BODMAS
  Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …
  ☆81Updated last year
• RingBDStack / HAWK
  ☆16Updated 2 years ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• dung4883 / PSI_graphIoTBotnet
  This project contains 10010 ELF files (6165 IoT Botnet of different variant and 3845 benign files)
  ☆9Updated 6 years ago
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• Kartikaggarwal98 / Android_MalwareAnalysis
  CNN based android malware detection system
  ☆22Updated 5 years ago
• harshilpatel1799 / Iot-Cyber-Security-with-Machine-Learning-Research-Project
  IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…
  ☆69Updated 4 years ago
• avdhoot0303 / Malware-detection-of-PE-files
  This project is Malware detection API using ML and CNN techniques
  ☆24Updated 2 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆30Updated 2 years ago
• opensci-hub / Awesome-ML-Cybersecurity
  Machine Learning For Cybersecurity.
  ☆66Updated 5 years ago
• JiweiTian / AnomalyDetection
  A system which has a real-time & light-weight anomaly detection algorithm based on streaming data from UAV sensors in to order to get the…
  ☆10Updated 5 years ago
• islem-esi / DeepMalwareDetector
  A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
  ☆73Updated 2 years ago